{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ee210957",
   "metadata": {},
   "source": [
    "<center><font color=gray size=6>Week05 bokeh基本图形课堂笔记</font></center>\n",
    "<br/>\n",
    "<center><font color=gray size=4>2022.03.30</font></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19c278d3",
   "metadata": {},
   "source": [
    "# 上周知识回顾\n",
    "\n",
    "## [Bokeh中独特的数据类型简介： ColumnDataSource](https://developer.aliyun.com/article/645338)\n",
    "\n",
    "* 通过 ColumnDataSource 来提供数据\n",
    "\n",
    "> 1. data 为字典\n",
    "> 1. data 为 pandas 的 DataFrame\n",
    "> 1. data 为 pandas 的 DataFrame 的 groupby 对象\n",
    "## 工具条[TOOLS](https://docs.bokeh.org/en/latest/docs/user_guide/tools.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e673fcf",
   "metadata": {},
   "source": [
    "# 本周内容\n",
    "\n",
    "## 时间序列（Time series）\n",
    "* 将某种现象某一个统计指标在不同时间的各个数值，按先后时间顺序排列而成的序列\n",
    "* 是一种动态数据处理的方法\n",
    "* 案例:\n",
    "> 1. 第二次世界大战前应用于经济预测\n",
    "> 2. 二战之后用于空间科学、气象预报等领域"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea779362",
   "metadata": {},
   "source": [
    "## 数据准备\n",
    "\n",
    "[bokeh.sampledata介绍](https://docs.bokeh.org/en/2.4.0/docs/reference/sampledata.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8c154b1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import bokeh.sampledata.stocks"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e9cf073",
   "metadata": {},
   "source": [
    "## 上周案例回顾"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b0db8b90",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入\n",
    "from bokeh.models import ColumnDataSource, NumeralTickFormatter, SingleIntervalTicker\n",
    "from bokeh.sampledata.us_marriages_divorces import data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d393c290",
   "metadata": {},
   "source": [
    "* bokeh 数据准备的一般流程\n",
    "> 1、选择表格中对应的column，如（year、marriages、Divorces）  \n",
    "> 2、通过构建字典的方式，构建ColumnDataSource（dict）  \n",
    "> 3、在绘制图形的阶段使用数据源source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "670a137e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div id=3e768573-5b88-4106-a3d0-0c24de615ebf style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">Open in Mito</div> <script> if (window.commands.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('3e768573-5b88-4106-a3d0-0c24de615ebf').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Marriages</th>\n",
       "      <th>Divorces</th>\n",
       "      <th>Population</th>\n",
       "      <th>Marriages_per_1000</th>\n",
       "      <th>Divorces_per_1000</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1867</td>\n",
       "      <td>3.570000e+05</td>\n",
       "      <td>1.000000e+04</td>\n",
       "      <td>36970000</td>\n",
       "      <td>9.700000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1868</td>\n",
       "      <td>3.450000e+05</td>\n",
       "      <td>1.000000e+04</td>\n",
       "      <td>37885000</td>\n",
       "      <td>9.100000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1869</td>\n",
       "      <td>3.480000e+05</td>\n",
       "      <td>1.100000e+04</td>\n",
       "      <td>38870000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1870</td>\n",
       "      <td>3.520000e+05</td>\n",
       "      <td>1.100000e+04</td>\n",
       "      <td>39905000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1871</td>\n",
       "      <td>3.590000e+05</td>\n",
       "      <td>1.200000e+04</td>\n",
       "      <td>41010000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1872</td>\n",
       "      <td>3.780000e+05</td>\n",
       "      <td>1.200000e+04</td>\n",
       "      <td>42066000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1873</td>\n",
       "      <td>3.860000e+05</td>\n",
       "      <td>1.300000e+04</td>\n",
       "      <td>43225000</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1874</td>\n",
       "      <td>3.850000e+05</td>\n",
       "      <td>1.400000e+04</td>\n",
       "      <td>44429000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1875</td>\n",
       "      <td>4.090000e+05</td>\n",
       "      <td>1.400000e+04</td>\n",
       "      <td>45492000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1876</td>\n",
       "      <td>4.050000e+05</td>\n",
       "      <td>1.500000e+04</td>\n",
       "      <td>46459000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1877</td>\n",
       "      <td>4.110000e+05</td>\n",
       "      <td>1.600000e+04</td>\n",
       "      <td>47400000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1878</td>\n",
       "      <td>4.230000e+05</td>\n",
       "      <td>1.600000e+04</td>\n",
       "      <td>48319000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1879</td>\n",
       "      <td>4.380000e+05</td>\n",
       "      <td>1.700000e+04</td>\n",
       "      <td>49264000</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1880</td>\n",
       "      <td>4.530000e+05</td>\n",
       "      <td>2.000000e+04</td>\n",
       "      <td>50262000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1881</td>\n",
       "      <td>4.640000e+05</td>\n",
       "      <td>2.100000e+04</td>\n",
       "      <td>51466000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1882</td>\n",
       "      <td>4.840000e+05</td>\n",
       "      <td>2.200000e+04</td>\n",
       "      <td>52893000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1883</td>\n",
       "      <td>5.010000e+05</td>\n",
       "      <td>2.300000e+04</td>\n",
       "      <td>54435000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1884</td>\n",
       "      <td>4.850000e+05</td>\n",
       "      <td>2.300000e+04</td>\n",
       "      <td>55826000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1885</td>\n",
       "      <td>5.070000e+05</td>\n",
       "      <td>2.300000e+04</td>\n",
       "      <td>57128000</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1886</td>\n",
       "      <td>5.340000e+05</td>\n",
       "      <td>2.600000e+04</td>\n",
       "      <td>58258000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1887</td>\n",
       "      <td>5.130000e+05</td>\n",
       "      <td>2.800000e+04</td>\n",
       "      <td>59357000</td>\n",
       "      <td>8.600000</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1888</td>\n",
       "      <td>5.350000e+05</td>\n",
       "      <td>2.900000e+04</td>\n",
       "      <td>60614000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1889</td>\n",
       "      <td>5.630000e+05</td>\n",
       "      <td>3.200000e+04</td>\n",
       "      <td>61893000</td>\n",
       "      <td>9.100000</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1890</td>\n",
       "      <td>5.700000e+05</td>\n",
       "      <td>3.300000e+04</td>\n",
       "      <td>63056000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1891</td>\n",
       "      <td>5.920000e+05</td>\n",
       "      <td>3.600000e+04</td>\n",
       "      <td>64432000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1892</td>\n",
       "      <td>6.010000e+05</td>\n",
       "      <td>3.700000e+04</td>\n",
       "      <td>65920000</td>\n",
       "      <td>9.100000</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1893</td>\n",
       "      <td>6.010000e+05</td>\n",
       "      <td>3.700000e+04</td>\n",
       "      <td>67470000</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1894</td>\n",
       "      <td>5.880000e+05</td>\n",
       "      <td>3.800000e+04</td>\n",
       "      <td>68910000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1895</td>\n",
       "      <td>6.200000e+05</td>\n",
       "      <td>4.000000e+04</td>\n",
       "      <td>70076000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1896</td>\n",
       "      <td>6.350000e+05</td>\n",
       "      <td>4.300000e+04</td>\n",
       "      <td>71188000</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1897</td>\n",
       "      <td>6.430000e+05</td>\n",
       "      <td>4.500000e+04</td>\n",
       "      <td>72441000</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1898</td>\n",
       "      <td>6.470000e+05</td>\n",
       "      <td>4.800000e+04</td>\n",
       "      <td>73600000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1899</td>\n",
       "      <td>6.730000e+05</td>\n",
       "      <td>5.100000e+04</td>\n",
       "      <td>74793000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1900</td>\n",
       "      <td>7.090000e+05</td>\n",
       "      <td>5.600000e+04</td>\n",
       "      <td>76094000</td>\n",
       "      <td>9.300000</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>1901</td>\n",
       "      <td>7.420000e+05</td>\n",
       "      <td>6.100000e+04</td>\n",
       "      <td>77584000</td>\n",
       "      <td>9.600000</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1902</td>\n",
       "      <td>7.760000e+05</td>\n",
       "      <td>6.100000e+04</td>\n",
       "      <td>79163000</td>\n",
       "      <td>9.800000</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1903</td>\n",
       "      <td>8.180000e+05</td>\n",
       "      <td>6.500000e+04</td>\n",
       "      <td>80632000</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1904</td>\n",
       "      <td>8.150000e+05</td>\n",
       "      <td>6.600000e+04</td>\n",
       "      <td>82166000</td>\n",
       "      <td>9.900000</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>1905</td>\n",
       "      <td>8.420000e+05</td>\n",
       "      <td>6.800000e+04</td>\n",
       "      <td>83822000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>1906</td>\n",
       "      <td>8.950000e+05</td>\n",
       "      <td>7.200000e+04</td>\n",
       "      <td>85450000</td>\n",
       "      <td>10.500000</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>1907</td>\n",
       "      <td>9.370000e+05</td>\n",
       "      <td>7.700000e+04</td>\n",
       "      <td>87008000</td>\n",
       "      <td>10.800000</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>1908</td>\n",
       "      <td>8.570000e+05</td>\n",
       "      <td>7.700000e+04</td>\n",
       "      <td>88710000</td>\n",
       "      <td>9.700000</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1909</td>\n",
       "      <td>8.970000e+05</td>\n",
       "      <td>8.000000e+04</td>\n",
       "      <td>90490000</td>\n",
       "      <td>9.900000</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>1910</td>\n",
       "      <td>9.480000e+05</td>\n",
       "      <td>8.300000e+04</td>\n",
       "      <td>92407000</td>\n",
       "      <td>10.300000</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>1911</td>\n",
       "      <td>9.550000e+05</td>\n",
       "      <td>8.900000e+04</td>\n",
       "      <td>93863000</td>\n",
       "      <td>10.200000</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>1912</td>\n",
       "      <td>1.005000e+06</td>\n",
       "      <td>9.400000e+04</td>\n",
       "      <td>95335000</td>\n",
       "      <td>10.500000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>1913</td>\n",
       "      <td>1.021000e+06</td>\n",
       "      <td>9.100000e+04</td>\n",
       "      <td>97225000</td>\n",
       "      <td>10.500000</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>1914</td>\n",
       "      <td>1.025000e+06</td>\n",
       "      <td>1.010000e+05</td>\n",
       "      <td>99111000</td>\n",
       "      <td>10.300000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>1915</td>\n",
       "      <td>1.008000e+06</td>\n",
       "      <td>1.040000e+05</td>\n",
       "      <td>100546000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>1916</td>\n",
       "      <td>1.076000e+06</td>\n",
       "      <td>1.140000e+05</td>\n",
       "      <td>101961000</td>\n",
       "      <td>10.600000</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>1917</td>\n",
       "      <td>1.144000e+06</td>\n",
       "      <td>1.220000e+05</td>\n",
       "      <td>103414000</td>\n",
       "      <td>11.100000</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>1918</td>\n",
       "      <td>1.000000e+06</td>\n",
       "      <td>1.160000e+05</td>\n",
       "      <td>104550000</td>\n",
       "      <td>9.600000</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>1919</td>\n",
       "      <td>1.150000e+06</td>\n",
       "      <td>1.420000e+05</td>\n",
       "      <td>105063000</td>\n",
       "      <td>10.900000</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>1920</td>\n",
       "      <td>1.274000e+06</td>\n",
       "      <td>1.710000e+05</td>\n",
       "      <td>106461000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>1921</td>\n",
       "      <td>1.164000e+06</td>\n",
       "      <td>1.600000e+05</td>\n",
       "      <td>108538000</td>\n",
       "      <td>10.700000</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>1922</td>\n",
       "      <td>1.134000e+06</td>\n",
       "      <td>1.490000e+05</td>\n",
       "      <td>110049000</td>\n",
       "      <td>10.300000</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>1923</td>\n",
       "      <td>1.230000e+06</td>\n",
       "      <td>1.650000e+05</td>\n",
       "      <td>111947000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>1924</td>\n",
       "      <td>1.185000e+06</td>\n",
       "      <td>1.710000e+05</td>\n",
       "      <td>114109000</td>\n",
       "      <td>10.400000</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>1925</td>\n",
       "      <td>1.188000e+06</td>\n",
       "      <td>1.750000e+05</td>\n",
       "      <td>115829000</td>\n",
       "      <td>10.300000</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>1926</td>\n",
       "      <td>1.203000e+06</td>\n",
       "      <td>1.850000e+05</td>\n",
       "      <td>117397000</td>\n",
       "      <td>10.200000</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>1927</td>\n",
       "      <td>1.201000e+06</td>\n",
       "      <td>1.960000e+05</td>\n",
       "      <td>119035000</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>1928</td>\n",
       "      <td>1.182000e+06</td>\n",
       "      <td>2.000000e+05</td>\n",
       "      <td>120509000</td>\n",
       "      <td>9.800000</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>1929</td>\n",
       "      <td>1.233000e+06</td>\n",
       "      <td>2.060000e+05</td>\n",
       "      <td>121878000</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>1930</td>\n",
       "      <td>1.127000e+06</td>\n",
       "      <td>1.960000e+05</td>\n",
       "      <td>123188000</td>\n",
       "      <td>9.100000</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>1931</td>\n",
       "      <td>1.061000e+06</td>\n",
       "      <td>1.880000e+05</td>\n",
       "      <td>124149000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>1932</td>\n",
       "      <td>9.820000e+05</td>\n",
       "      <td>1.640000e+05</td>\n",
       "      <td>124949000</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>1933</td>\n",
       "      <td>1.098000e+06</td>\n",
       "      <td>1.650000e+05</td>\n",
       "      <td>125690000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>1934</td>\n",
       "      <td>1.302000e+06</td>\n",
       "      <td>2.040000e+05</td>\n",
       "      <td>126485000</td>\n",
       "      <td>10.300000</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>1935</td>\n",
       "      <td>1.327000e+06</td>\n",
       "      <td>2.180000e+05</td>\n",
       "      <td>127362000</td>\n",
       "      <td>10.400000</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>1936</td>\n",
       "      <td>1.369000e+06</td>\n",
       "      <td>2.360000e+05</td>\n",
       "      <td>128181000</td>\n",
       "      <td>10.700000</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1937</td>\n",
       "      <td>1.451000e+06</td>\n",
       "      <td>2.490000e+05</td>\n",
       "      <td>128961000</td>\n",
       "      <td>11.300000</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1938</td>\n",
       "      <td>1.331000e+06</td>\n",
       "      <td>2.440000e+05</td>\n",
       "      <td>129969000</td>\n",
       "      <td>10.200000</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1939</td>\n",
       "      <td>1.404000e+06</td>\n",
       "      <td>2.510000e+05</td>\n",
       "      <td>131028000</td>\n",
       "      <td>10.700000</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>1940</td>\n",
       "      <td>1.596000e+06</td>\n",
       "      <td>2.640000e+05</td>\n",
       "      <td>132122000</td>\n",
       "      <td>12.100000</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>1941</td>\n",
       "      <td>1.696000e+06</td>\n",
       "      <td>2.930000e+05</td>\n",
       "      <td>133402000</td>\n",
       "      <td>12.700000</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>1942</td>\n",
       "      <td>1.772000e+06</td>\n",
       "      <td>3.210000e+05</td>\n",
       "      <td>134860000</td>\n",
       "      <td>13.100000</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>1943</td>\n",
       "      <td>1.577000e+06</td>\n",
       "      <td>3.590000e+05</td>\n",
       "      <td>136739000</td>\n",
       "      <td>11.500000</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>1944</td>\n",
       "      <td>1.452000e+06</td>\n",
       "      <td>4.000000e+05</td>\n",
       "      <td>138397000</td>\n",
       "      <td>10.500000</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>1945</td>\n",
       "      <td>1.613000e+06</td>\n",
       "      <td>4.850000e+05</td>\n",
       "      <td>139928000</td>\n",
       "      <td>11.500000</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>1946</td>\n",
       "      <td>2.291000e+06</td>\n",
       "      <td>6.100000e+05</td>\n",
       "      <td>141389000</td>\n",
       "      <td>16.200000</td>\n",
       "      <td>4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1947</td>\n",
       "      <td>1.992000e+06</td>\n",
       "      <td>4.830000e+05</td>\n",
       "      <td>144126000</td>\n",
       "      <td>13.800000</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>1948</td>\n",
       "      <td>1.811000e+06</td>\n",
       "      <td>4.080000e+05</td>\n",
       "      <td>146631000</td>\n",
       "      <td>12.400000</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>1949</td>\n",
       "      <td>1.580000e+06</td>\n",
       "      <td>3.970000e+05</td>\n",
       "      <td>149188000</td>\n",
       "      <td>10.600000</td>\n",
       "      <td>2.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>1950</td>\n",
       "      <td>1.667000e+06</td>\n",
       "      <td>3.850000e+05</td>\n",
       "      <td>151684000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>1951</td>\n",
       "      <td>1.595000e+06</td>\n",
       "      <td>3.810000e+05</td>\n",
       "      <td>154287000</td>\n",
       "      <td>10.300000</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>1952</td>\n",
       "      <td>1.539000e+06</td>\n",
       "      <td>3.920000e+05</td>\n",
       "      <td>156954000</td>\n",
       "      <td>9.800000</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>1953</td>\n",
       "      <td>1.546000e+06</td>\n",
       "      <td>3.900000e+05</td>\n",
       "      <td>159565000</td>\n",
       "      <td>9.700000</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>1954</td>\n",
       "      <td>1.490000e+06</td>\n",
       "      <td>3.790000e+05</td>\n",
       "      <td>162391000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>1955</td>\n",
       "      <td>1.531000e+06</td>\n",
       "      <td>3.770000e+05</td>\n",
       "      <td>165275000</td>\n",
       "      <td>9.300000</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>1956</td>\n",
       "      <td>1.585000e+06</td>\n",
       "      <td>3.820000e+05</td>\n",
       "      <td>168221000</td>\n",
       "      <td>9.400000</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1957</td>\n",
       "      <td>1.518000e+06</td>\n",
       "      <td>3.810000e+05</td>\n",
       "      <td>171274000</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>1958</td>\n",
       "      <td>1.451000e+06</td>\n",
       "      <td>3.680000e+05</td>\n",
       "      <td>174141000</td>\n",
       "      <td>8.300000</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>1959</td>\n",
       "      <td>1.494000e+06</td>\n",
       "      <td>3.950000e+05</td>\n",
       "      <td>177130000</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>1960</td>\n",
       "      <td>1.523000e+06</td>\n",
       "      <td>3.930000e+05</td>\n",
       "      <td>180760000</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>1961</td>\n",
       "      <td>1.548000e+06</td>\n",
       "      <td>4.140000e+05</td>\n",
       "      <td>183742000</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>1962</td>\n",
       "      <td>1.577000e+06</td>\n",
       "      <td>4.130000e+05</td>\n",
       "      <td>186590000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>1963</td>\n",
       "      <td>1.654000e+06</td>\n",
       "      <td>4.280000e+05</td>\n",
       "      <td>189300000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>1964</td>\n",
       "      <td>1.725000e+06</td>\n",
       "      <td>4.500000e+05</td>\n",
       "      <td>191927000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>1965</td>\n",
       "      <td>1.800000e+06</td>\n",
       "      <td>4.790000e+05</td>\n",
       "      <td>194347000</td>\n",
       "      <td>9.300000</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>1966</td>\n",
       "      <td>1.857000e+06</td>\n",
       "      <td>4.990000e+05</td>\n",
       "      <td>196599000</td>\n",
       "      <td>9.400000</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>1967</td>\n",
       "      <td>1.927000e+06</td>\n",
       "      <td>5.230000e+05</td>\n",
       "      <td>198752000</td>\n",
       "      <td>9.700000</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>1968</td>\n",
       "      <td>2.069000e+06</td>\n",
       "      <td>5.840000e+05</td>\n",
       "      <td>200745000</td>\n",
       "      <td>10.300000</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>1969</td>\n",
       "      <td>2.145000e+06</td>\n",
       "      <td>6.390000e+05</td>\n",
       "      <td>202736000</td>\n",
       "      <td>10.600000</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>1970</td>\n",
       "      <td>2.185802e+06</td>\n",
       "      <td>7.080000e+05</td>\n",
       "      <td>205089000</td>\n",
       "      <td>10.700000</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>1971</td>\n",
       "      <td>2.190481e+06</td>\n",
       "      <td>7.730000e+05</td>\n",
       "      <td>207692000</td>\n",
       "      <td>10.500000</td>\n",
       "      <td>3.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>1972</td>\n",
       "      <td>2.282154e+06</td>\n",
       "      <td>8.450000e+05</td>\n",
       "      <td>209924000</td>\n",
       "      <td>10.900000</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>1973</td>\n",
       "      <td>2.284108e+06</td>\n",
       "      <td>9.150000e+05</td>\n",
       "      <td>211939000</td>\n",
       "      <td>10.800000</td>\n",
       "      <td>4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>1974</td>\n",
       "      <td>2.245929e+06</td>\n",
       "      <td>9.839310e+05</td>\n",
       "      <td>213898000</td>\n",
       "      <td>10.500000</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>1975</td>\n",
       "      <td>2.159810e+06</td>\n",
       "      <td>1.036709e+06</td>\n",
       "      <td>215981000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>1976</td>\n",
       "      <td>2.159051e+06</td>\n",
       "      <td>1.090430e+06</td>\n",
       "      <td>218086000</td>\n",
       "      <td>9.900000</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>1977</td>\n",
       "      <td>2.180861e+06</td>\n",
       "      <td>1.101445e+06</td>\n",
       "      <td>220289000</td>\n",
       "      <td>9.900000</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>1978</td>\n",
       "      <td>2.293079e+06</td>\n",
       "      <td>1.135408e+06</td>\n",
       "      <td>222629000</td>\n",
       "      <td>10.300000</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>1979</td>\n",
       "      <td>2.341102e+06</td>\n",
       "      <td>1.193062e+06</td>\n",
       "      <td>225106000</td>\n",
       "      <td>10.400000</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>1980</td>\n",
       "      <td>2.413896e+06</td>\n",
       "      <td>1.184175e+06</td>\n",
       "      <td>227726000</td>\n",
       "      <td>10.600000</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>1981</td>\n",
       "      <td>2.438085e+06</td>\n",
       "      <td>1.219042e+06</td>\n",
       "      <td>230008000</td>\n",
       "      <td>10.600000</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>1982</td>\n",
       "      <td>2.452769e+06</td>\n",
       "      <td>1.206685e+06</td>\n",
       "      <td>232218000</td>\n",
       "      <td>10.566667</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>1983</td>\n",
       "      <td>2.467453e+06</td>\n",
       "      <td>1.194327e+06</td>\n",
       "      <td>234333000</td>\n",
       "      <td>10.533333</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>1984</td>\n",
       "      <td>2.482137e+06</td>\n",
       "      <td>1.181970e+06</td>\n",
       "      <td>236394000</td>\n",
       "      <td>10.500000</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>1985</td>\n",
       "      <td>2.408911e+06</td>\n",
       "      <td>1.192530e+06</td>\n",
       "      <td>238506000</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>1986</td>\n",
       "      <td>2.406830e+06</td>\n",
       "      <td>1.179347e+06</td>\n",
       "      <td>240683000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>4.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>1987</td>\n",
       "      <td>2.404146e+06</td>\n",
       "      <td>1.165646e+06</td>\n",
       "      <td>242843000</td>\n",
       "      <td>9.900000</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>1988</td>\n",
       "      <td>2.377092e+06</td>\n",
       "      <td>1.151787e+06</td>\n",
       "      <td>245061000</td>\n",
       "      <td>9.700000</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>1989</td>\n",
       "      <td>2.399654e+06</td>\n",
       "      <td>1.162719e+06</td>\n",
       "      <td>247387000</td>\n",
       "      <td>9.700000</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>1990</td>\n",
       "      <td>2.451774e+06</td>\n",
       "      <td>1.175851e+06</td>\n",
       "      <td>250181000</td>\n",
       "      <td>9.800000</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>1991</td>\n",
       "      <td>2.383182e+06</td>\n",
       "      <td>1.191591e+06</td>\n",
       "      <td>253530000</td>\n",
       "      <td>9.400000</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>1992</td>\n",
       "      <td>2.389375e+06</td>\n",
       "      <td>1.233226e+06</td>\n",
       "      <td>256922000</td>\n",
       "      <td>9.300000</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>1993</td>\n",
       "      <td>2.342538e+06</td>\n",
       "      <td>1.197297e+06</td>\n",
       "      <td>260282000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>1994</td>\n",
       "      <td>2.397441e+06</td>\n",
       "      <td>1.211893e+06</td>\n",
       "      <td>263455000</td>\n",
       "      <td>9.100000</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>1995</td>\n",
       "      <td>2.392961e+06</td>\n",
       "      <td>1.195595e+06</td>\n",
       "      <td>266588000</td>\n",
       "      <td>8.966667</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>1996</td>\n",
       "      <td>2.388480e+06</td>\n",
       "      <td>1.179298e+06</td>\n",
       "      <td>269714000</td>\n",
       "      <td>8.833333</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>1997</td>\n",
       "      <td>2.384000e+06</td>\n",
       "      <td>1.163000e+06</td>\n",
       "      <td>272958000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>1998</td>\n",
       "      <td>2.244000e+06</td>\n",
       "      <td>1.135000e+06</td>\n",
       "      <td>276154000</td>\n",
       "      <td>8.100000</td>\n",
       "      <td>4.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>1999</td>\n",
       "      <td>2.358000e+06</td>\n",
       "      <td>1.145245e+06</td>\n",
       "      <td>279328000</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>4.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>2000</td>\n",
       "      <td>2.315000e+06</td>\n",
       "      <td>9.440000e+05</td>\n",
       "      <td>282398000</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2001</td>\n",
       "      <td>2.326000e+06</td>\n",
       "      <td>9.400000e+05</td>\n",
       "      <td>285225000</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>2002</td>\n",
       "      <td>2.290000e+06</td>\n",
       "      <td>9.550000e+05</td>\n",
       "      <td>287955000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>2003</td>\n",
       "      <td>2.245000e+06</td>\n",
       "      <td>9.270000e+05</td>\n",
       "      <td>290626000</td>\n",
       "      <td>7.700000</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>2004</td>\n",
       "      <td>2.279000e+06</td>\n",
       "      <td>8.790000e+05</td>\n",
       "      <td>293262000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2005</td>\n",
       "      <td>2.249000e+06</td>\n",
       "      <td>8.470000e+05</td>\n",
       "      <td>295993000</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2006</td>\n",
       "      <td>2.193000e+06</td>\n",
       "      <td>8.720000e+05</td>\n",
       "      <td>298818000</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>2007</td>\n",
       "      <td>2.197000e+06</td>\n",
       "      <td>8.560000e+05</td>\n",
       "      <td>301696000</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2008</td>\n",
       "      <td>2.157000e+06</td>\n",
       "      <td>8.440000e+05</td>\n",
       "      <td>304543000</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>2009</td>\n",
       "      <td>2.080000e+06</td>\n",
       "      <td>8.400000e+05</td>\n",
       "      <td>307240000</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>2.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2010</td>\n",
       "      <td>2.096000e+06</td>\n",
       "      <td>8.720000e+05</td>\n",
       "      <td>309776000</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>2011</td>\n",
       "      <td>2.118000e+06</td>\n",
       "      <td>8.770000e+05</td>\n",
       "      <td>312034000</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "     Year  Marriages  Divorces  Population  Marriages_per_1000  \\\n",
       "0    1867   357000.0   10000.0    36970000                 9.7   \n",
       "1    1868   345000.0   10000.0    37885000                 9.1   \n",
       "2    1869   348000.0   11000.0    38870000                 9.0   \n",
       "3    1870   352000.0   11000.0    39905000                 8.8   \n",
       "4    1871   359000.0   12000.0    41010000                 8.8   \n",
       "..    ...        ...       ...         ...                 ...   \n",
       "140  2007  2197000.0  856000.0   301696000                 7.3   \n",
       "141  2008  2157000.0  844000.0   304543000                 7.1   \n",
       "142  2009  2080000.0  840000.0   307240000                 6.8   \n",
       "143  2010  2096000.0  872000.0   309776000                 6.8   \n",
       "144  2011  2118000.0  877000.0   312034000                 6.8   \n",
       "\n",
       "     Divorces_per_1000  \n",
       "0                  0.3  \n",
       "1                  0.3  \n",
       "2                  0.3  \n",
       "3                  0.3  \n",
       "4                  0.3  \n",
       "..                 ...  \n",
       "140                2.8  \n",
       "141                2.8  \n",
       "142                2.7  \n",
       "143                2.8  \n",
       "144                2.8  \n",
       "\n",
       "[145 rows x 6 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6941c838",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1867, 1868, 1869, 1870, 1871, 1872, 1873, 1874, 1875, 1876, 1877,\n",
       "       1878, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888,\n",
       "       1889, 1890, 1891, 1892, 1893, 1894, 1895, 1896, 1897, 1898, 1899,\n",
       "       1900, 1901, 1902, 1903, 1904, 1905, 1906, 1907, 1908, 1909, 1910,\n",
       "       1911, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1921,\n",
       "       1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932,\n",
       "       1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943,\n",
       "       1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954,\n",
       "       1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965,\n",
       "       1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976,\n",
       "       1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987,\n",
       "       1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998,\n",
       "       1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009,\n",
       "       2010, 2011], dtype=int64)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.Year.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "61700005",
   "metadata": {},
   "outputs": [
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       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      const toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    const events = require('base/js/events');\n",
       "    const OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  const NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    const el = document.getElementById(\"1002\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error(url) {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (let i = 0; i < css_urls.length; i++) {\n",
       "      const url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    for (let i = 0; i < js_urls.length; i++) {\n",
       "      const url = js_urls[i];\n",
       "      const element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n",
       "  const css_urls = [];\n",
       "  \n",
       "\n",
       "  const inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (let i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    const el = document.getElementById(\"1002\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n  const css_urls = [];\n  \n\n  const inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.plotting import output_notebook,show,figure\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1130a46e",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "data = data.interpolate(method='linear', axis=0).ffill().bfill()\n",
    "source = ColumnDataSource(data=dict(\n",
    "    year=data.Year.values,\n",
    "    marriages=data.Marriages_per_1000.values,\n",
    "    divorces=data.Divorces_per_1000.values,\n",
    "))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e7af7d49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"display: table;\"><div style=\"display: table-row;\"><div style=\"display: table-cell;\"><b title=\"bokeh.models.sources.ColumnDataSource\">ColumnDataSource</b>(</div><div style=\"display: table-cell;\">id&nbsp;=&nbsp;'1003', <span id=\"1005\" style=\"cursor: pointer;\">&hellip;)</span></div></div><div class=\"1004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">data&nbsp;=&nbsp;{'marriages': {'__ndarray__': 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style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_event_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"1004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_property_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"1004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">name&nbsp;=&nbsp;None,</div></div><div class=\"1004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">selected&nbsp;=&nbsp;Selection(id='1007', ...),</div></div><div class=\"1004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">selection_policy&nbsp;=&nbsp;UnionRenderers(id='1006', ...),</div></div><div class=\"1004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">subscribed_events&nbsp;=&nbsp;[],</div></div><div class=\"1004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">syncable&nbsp;=&nbsp;True,</div></div><div class=\"1004\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">tags&nbsp;=&nbsp;[])</div></div></div>\n",
       "<script>\n",
       "(function() {\n",
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       "  const ellipsis = document.getElementById(\"1005\");\n",
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       "    ellipsis.innerHTML = expanded ? \"&hellip;)\" : \"&lsaquo;&lsaquo;&lsaquo;\";\n",
       "    expanded = !expanded;\n",
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       "</script>\n"
      ],
      "text/plain": [
       "ColumnDataSource(id='1003', ...)"
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     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bdd2d07e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"9ed563fb-9be0-4113-a86b-5438377c5c77\" data-root-id=\"1008\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = 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per 1,000 people\",\"coordinates\":null,\"formatter\":{\"id\":\"1042\"},\"group\":null,\"major_label_policy\":{\"id\":\"1060\"},\"ticker\":{\"id\":\"1022\"}},\"id\":\"1021\",\"type\":\"LinearAxis\"},{\"attributes\":{\"tools\":[{\"id\":\"1025\"},{\"id\":\"1026\"},{\"id\":\"1027\"},{\"id\":\"1028\"},{\"id\":\"1029\"},{\"id\":\"1031\"}]},\"id\":\"1032\",\"type\":\"Toolbar\"},{\"attributes\":{\"source\":{\"id\":\"1003\"}},\"id\":\"1056\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1025\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"1026\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"line_color\":\"#1f77b4\",\"line_width\":3,\"x\":{\"field\":\"year\"},\"y\":{\"field\":\"marriages\"}},\"id\":\"1046\",\"type\":\"Line\"},{\"attributes\":{\"axis\":{\"id\":\"1021\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1024\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"mode\":\"vline\",\"tooltips\":\"<font face=\\\"Arial\\\" size=\\\"3\\\">@$name{0.0} $name per 1,000 people in @year</font>\"},\"id\":\"1031\",\"type\":\"HoverTool\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":3,\"x\":{\"field\":\"year\"},\"y\":{\"field\":\"marriages\"}},\"id\":\"1047\",\"type\":\"Line\"},{\"attributes\":{\"source\":{\"id\":\"1003\"}},\"id\":\"1050\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1029\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1022\",\"type\":\"BasicTicker\"},{\"attributes\":{\"overlay\":{\"id\":\"1030\"}},\"id\":\"1027\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"axis\":{\"id\":\"1017\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1020\",\"type\":\"Grid\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"144 years of marriage and divorce in the U.S.\"},\"id\":\"1044\",\"type\":\"Title\"}],\"root_ids\":[\"1008\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"596bfe86-5167-4b47-8dfd-afd5405e4388\",\"root_ids\":[\"1008\"],\"roots\":{\"1008\":\"9ed563fb-9be0-4113-a86b-5438377c5c77\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1008"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 工具条\n",
    "TOOLS = 'pan,wheel_zoom,box_zoom,reset,save'\n",
    "\n",
    "# 画布\n",
    "p = figure(tools=TOOLS, plot_width=800, plot_height=500,\n",
    "           tooltips='<font face=\"Arial\" size=\"3\">@$name{0.0} $name per 1,000 people in @year</font>')\n",
    "\n",
    "# 其他自定义属性\n",
    "p.hover.mode = 'vline'\n",
    "p.xaxis.ticker = SingleIntervalTicker(interval=10, num_minor_ticks=0)\n",
    "p.yaxis.formatter = NumeralTickFormatter(format='0.0a')\n",
    "p.yaxis.axis_label = '# per 1,000 people'\n",
    "p.title.text = '144 years of marriage and divorce in the U.S.'\n",
    "\n",
    "# 绘图  dict_name['year']\n",
    "p.line('year', 'marriages', color='#1f77b4', line_width=3, source=source, name=\"marriages\")\n",
    "p.line('year', 'divorces', color='#ff7f0e', line_width=3, source=source, name=\"divorces\")\n",
    "\n",
    "# 显示\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2a1732e",
   "metadata": {},
   "source": [
    "## appl goog数据对比\n",
    "### 数据源"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "e8413591",
   "metadata": {},
   "outputs": [],
   "source": [
    "from bokeh.sampledata.stocks import AAPL, GOOG\n",
    "import numpy as np\n",
    "from bokeh.models import ColumnDataSource\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "6277c639",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'date': ['2000-03-01',\n",
       "  '2000-03-02',\n",
       "  '2000-03-03',\n",
       "  '2000-03-06',\n",
       "  '2000-03-07',\n",
       "  '2000-03-08',\n",
       "  '2000-03-09',\n",
       "  '2000-03-10',\n",
       "  '2000-03-13',\n",
       "  '2000-03-14',\n",
       "  '2000-03-15',\n",
       "  '2000-03-16',\n",
       "  '2000-03-17',\n",
       "  '2000-03-20',\n",
       "  '2000-03-21',\n",
       "  '2000-03-22',\n",
       "  '2000-03-23',\n",
       "  '2000-03-24',\n",
       "  '2000-03-27',\n",
       "  '2000-03-28',\n",
       "  '2000-03-29',\n",
       "  '2000-03-30',\n",
       "  '2000-03-31',\n",
       "  '2000-04-03',\n",
       "  '2000-04-04',\n",
       "  '2000-04-05',\n",
       "  '2000-04-06',\n",
       "  '2000-04-07',\n",
       "  '2000-04-10',\n",
       "  '2000-04-11',\n",
       "  '2000-04-12',\n",
       "  '2000-04-13',\n",
       "  '2000-04-14',\n",
       "  '2000-04-17',\n",
       "  '2000-04-18',\n",
       "  '2000-04-19',\n",
       "  '2000-04-20',\n",
       "  '2000-04-24',\n",
       "  '2000-04-25',\n",
       "  '2000-04-26',\n",
       "  '2000-04-27',\n",
       "  '2000-04-28',\n",
       "  '2000-05-01',\n",
       "  '2000-05-02',\n",
       "  '2000-05-03',\n",
       "  '2000-05-04',\n",
       "  '2000-05-05',\n",
       "  '2000-05-08',\n",
       "  '2000-05-09',\n",
       "  '2000-05-10',\n",
       "  '2000-05-11',\n",
       "  '2000-05-12',\n",
       "  '2000-05-15',\n",
       "  '2000-05-16',\n",
       "  '2000-05-17',\n",
       "  '2000-05-18',\n",
       "  '2000-05-19',\n",
       "  '2000-05-22',\n",
       "  '2000-05-23',\n",
       "  '2000-05-24',\n",
       "  '2000-05-25',\n",
       "  '2000-05-26',\n",
       "  '2000-05-30',\n",
       "  '2000-05-31',\n",
       "  '2000-06-01',\n",
       "  '2000-06-02',\n",
       "  '2000-06-05',\n",
       "  '2000-06-06',\n",
       "  '2000-06-07',\n",
       "  '2000-06-08',\n",
       "  '2000-06-09',\n",
       "  '2000-06-12',\n",
       "  '2000-06-13',\n",
       "  '2000-06-14',\n",
       "  '2000-06-15',\n",
       "  '2000-06-16',\n",
       "  '2000-06-19',\n",
       "  '2000-06-20',\n",
       "  '2000-06-21',\n",
       "  '2000-06-22',\n",
       "  '2000-06-23',\n",
       "  '2000-06-26',\n",
       "  '2000-06-27',\n",
       "  '2000-06-28',\n",
       "  '2000-06-29',\n",
       "  '2000-06-30',\n",
       "  '2000-07-03',\n",
       "  '2000-07-05',\n",
       "  '2000-07-06',\n",
       "  '2000-07-07',\n",
       "  '2000-07-10',\n",
       "  '2000-07-11',\n",
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       "  '2000-07-18',\n",
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       "  '2000-07-20',\n",
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       "  '2000-07-24',\n",
       "  '2000-07-25',\n",
       "  '2000-07-26',\n",
       "  '2000-07-27',\n",
       "  '2000-07-28',\n",
       "  '2000-07-31',\n",
       "  '2000-08-01',\n",
       "  '2000-08-02',\n",
       "  '2000-08-03',\n",
       "  '2000-08-04',\n",
       "  '2000-08-07',\n",
       "  '2000-08-08',\n",
       "  '2000-08-09',\n",
       "  '2000-08-10',\n",
       "  '2000-08-11',\n",
       "  '2000-08-14',\n",
       "  '2000-08-15',\n",
       "  '2000-08-16',\n",
       "  '2000-08-17',\n",
       "  '2000-08-18',\n",
       "  '2000-08-21',\n",
       "  '2000-08-22',\n",
       "  '2000-08-23',\n",
       "  '2000-08-24',\n",
       "  '2000-08-25',\n",
       "  '2000-08-28',\n",
       "  '2000-08-29',\n",
       "  '2000-08-30',\n",
       "  '2000-08-31',\n",
       "  '2000-09-01',\n",
       "  '2000-09-05',\n",
       "  '2000-09-06',\n",
       "  '2000-09-07',\n",
       "  '2000-09-08',\n",
       "  '2000-09-11',\n",
       "  '2000-09-12',\n",
       "  '2000-09-13',\n",
       "  '2000-09-14',\n",
       "  '2000-09-15',\n",
       "  '2000-09-18',\n",
       "  '2000-09-19',\n",
       "  '2000-09-20',\n",
       "  '2000-09-21',\n",
       "  '2000-09-22',\n",
       "  '2000-09-25',\n",
       "  '2000-09-26',\n",
       "  '2000-09-27',\n",
       "  '2000-09-28',\n",
       "  '2000-09-29',\n",
       "  '2000-10-02',\n",
       "  '2000-10-03',\n",
       "  '2000-10-04',\n",
       "  '2000-10-05',\n",
       "  '2000-10-06',\n",
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       "  '2003-06-17',\n",
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       "  '2003-06-26',\n",
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       "  '2003-07-17',\n",
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       "  '2003-08-05',\n",
       "  '2003-08-06',\n",
       "  '2003-08-07',\n",
       "  '2003-08-08',\n",
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       "  '2003-08-15',\n",
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       "  '2003-08-26',\n",
       "  '2003-08-27',\n",
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       "  '2003-09-02',\n",
       "  '2003-09-03',\n",
       "  '2003-09-04',\n",
       "  '2003-09-05',\n",
       "  '2003-09-08',\n",
       "  '2003-09-09',\n",
       "  '2003-09-10',\n",
       "  '2003-09-11',\n",
       "  '2003-09-12',\n",
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       "  '2003-09-17',\n",
       "  '2003-09-18',\n",
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       "  '2003-09-26',\n",
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       "  '2003-10-02',\n",
       "  '2003-10-03',\n",
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       "  '2003-10-07',\n",
       "  '2003-10-08',\n",
       "  '2003-10-09',\n",
       "  '2003-10-10',\n",
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       "  '2003-11-06',\n",
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       "  '2003-12-03',\n",
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       "  '2003-12-05',\n",
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       "  '2003-12-09',\n",
       "  '2003-12-10',\n",
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       "  '2003-12-12',\n",
       "  '2003-12-15',\n",
       "  '2003-12-16',\n",
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       "  '2003-12-22',\n",
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       "  '2003-12-29',\n",
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       "  '2004-01-05',\n",
       "  '2004-01-06',\n",
       "  '2004-01-07',\n",
       "  '2004-01-08',\n",
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       "  '2004-02-04',\n",
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       "  '2004-02-06',\n",
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       "  '2004-02-10',\n",
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       "  '2004-02-13',\n",
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       "  '2004-02-18',\n",
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       "  '2004-02-20',\n",
       "  '2004-02-23',\n",
       "  '2004-02-24',\n",
       "  ...],\n",
       " 'open': [118.56,\n",
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       "  22.21,\n",
       "  21.89,\n",
       "  22.0,\n",
       "  ...],\n",
       " 'close': [130.31,\n",
       "  122.0,\n",
       "  128.0,\n",
       "  125.69,\n",
       "  122.87,\n",
       "  122.0,\n",
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       "  89.94,\n",
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       "  22.17,\n",
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       "  19.5,\n",
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       "  19.05,\n",
       "  19.02,\n",
       "  19.09,\n",
       "  18.73,\n",
       "  18.44,\n",
       "  18.65,\n",
       "  18.07,\n",
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       "  22.4,\n",
       "  22.19,\n",
       "  22.36,\n",
       "  ...],\n",
       " 'volume': [38478000,\n",
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       "  ...]}"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AAPL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "34824c55",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  '2008-08-05',\n",
       "  '2008-08-06',\n",
       "  '2008-08-07',\n",
       "  ...],\n",
       " 'open': [100.0,\n",
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       "  476.41,\n",
       "  ...],\n",
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       "  ...],\n",
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       "      <th>0</th>\n",
       "      <td>[2004-08-19, 2004-08-20, 2004-08-23, 2004-08-24, 2004-08-25, 2004-08-26, 2004-08-27, 2004-08-30, 2004-08-31, 2004-09-01, 2004-09-02, 2004-09-03, 2004-09-07, 2004-09-08, 2004-09-09, 2004-09-10, 2004-09-13, 2004-09-14, 2004-09-15, 2004-09-16, 2004-09-17, 2004-09-20, 2004-09-21, 2004-09-22, 2004-09-23, 2004-09-24, 2004-09-27, 2004-09-28, 2004-09-29, 2004-09-30, 2004-10-01, 2004-10-04, 2004-10-05, 2004-10-06, 2004-10-07, 2004-10-08, 2004-10-11, 2004-10-12, 2004-10-13, 2004-10-14, 2004-10-15, 2004-10-18, 2004-10-19, 2004-10-20, 2004-10-21, 2004-10-22, 2004-10-25, 2004-10-26, 2004-10-27, 2004-10-28, 2004-10-29, 2004-11-01, 2004-11-02, 2004-11-03, 2004-11-04, 2004-11-05, 2004-11-08, 2004-11-09, 2004-11-10, 2004-11-11, 2004-11-12, 2004-11-15, 2004-11-16, 2004-11-17, 2004-11-18, 2004-11-19, 2004-11-22, 2004-11-23, 2004-11-24, 2004-11-26, 2004-11-29, 2004-11-30, 2004-12-01, 2004-12-02, 2004-12-03, 2004-12-06, 2004-12-07, 2004-12-08, 2004-12-09, 2004-12-10, 2004-12-13, 2004-12-14, 2004-12-15, 2004-12-16, 2004-12-17, 2004-12-20, 2004-12-21, 2004-12-22, 2004-12-23, 2004-12-27, 2004-12-28, 2004-12-29, 2004-12-30, 2004-12-31, 2005-01-03, 2005-01-04, 2005-01-05, 2005-01-06, 2005-01-07, 2005-01-10, ...]</td>\n",
       "      <td>[100.0, 101.01, 110.75, 111.24, 104.96, 104.95, 108.1, 105.28, 102.3, 102.7, 99.19, 100.95, 101.01, 100.74, 102.53, 101.6, 106.63, 107.45, 110.56, 112.34, 114.42, 116.95, 119.81, 117.4, 118.84, 120.94, 119.56, 121.3, 126.7, 129.9, 130.8, 135.25, 134.66, 137.55, 136.92, 138.72, 137.0, 134.44, 143.32, 141.01, 144.93, 143.2, 150.5, 148.03, 144.4, 170.54, 176.4, 186.34, 182.72, 186.68, 198.89, 193.55, 198.78, 198.18, 188.44, 181.98, 170.93, 174.1, 170.67, 169.13, 185.23, 180.45, 177.5, 169.02, 170.29, 169.1, 164.47, 167.97, 174.82, 175.8, 180.36, 180.71, 181.95, 179.9, 179.95, 179.13, 176.0, 170.35, 170.25, 173.43, 172.17, 171.0, 177.99, 176.95, 176.76, 182.0, 186.31, 183.9, 187.45, 189.15, 192.11, 191.78, 192.97, 199.23, 197.4, 201.4, 193.45, 195.08, 190.64, 194.5, ...]</td>\n",
       "      <td>[104.06, 109.08, 113.48, 111.6, 108.0, 107.95, 108.62, 105.49, 103.71, 102.97, 102.37, 101.74, 102.0, 103.03, 102.71, 106.56, 108.41, 112.0, 114.23, 115.8, 117.49, 121.6, 120.42, 119.67, 122.63, 124.1, 120.88, 127.4, 135.02, 132.3, 134.24, 136.87, 138.53, 138.45, 139.88, 139.68, 138.86, 137.61, 143.55, 142.38, 145.5, 149.2, 152.4, 148.99, 150.13, 180.17, 194.43, 192.64, 189.52, 194.39, 199.95, 197.67, 199.25, 201.6, 190.4, 182.3, 175.44, 175.2, 172.52, 183.75, 189.8, 188.32, 179.47, 177.5, 174.42, 169.98, 169.5, 170.83, 177.21, 180.03, 182.95, 183.0, 182.5, 181.51, 181.06, 180.7, 176.2, 173.68, 173.5, 174.88, 173.18, 178.82, 180.69, 180.49, 180.5, 188.46, 187.88, 186.85, 188.6, 193.3, 193.55, 193.52, 198.23, 199.88, 203.64, 202.93, 196.9, 195.9, 194.25, 198.1, ...]</td>\n",
       "      <td>[95.96, 100.5, 109.05, 103.57, 103.88, 104.66, 105.69, 102.01, 102.16, 99.67, 98.94, 99.32, 99.61, 100.5, 101.0, 101.3, 106.46, 106.79, 110.2, 111.65, 113.55, 116.77, 117.51, 116.81, 117.02, 119.76, 117.8, 120.21, 126.23, 129.0, 128.9, 134.03, 132.24, 136.0, 136.55, 137.02, 133.85, 133.4, 140.08, 138.56, 141.95, 141.21, 147.35, 139.6, 141.62, 164.08, 172.55, 180.0, 181.77, 185.6, 190.6, 191.27, 193.34, 190.75, 183.35, 168.55, 169.4, 165.27, 166.33, 167.57, 177.4, 178.75, 170.83, 169.0, 165.73, 166.52, 161.31, 166.5, 172.51, 175.32, 177.51, 180.25, 179.55, 178.55, 177.6, 176.02, 170.55, 168.73, 168.47, 171.29, 169.45, 169.6, 176.66, 175.95, 176.55, 181.87, 183.4, 183.01, 186.0, 189.1, 191.01, 191.78, 191.85, 192.56, 195.46, 193.48, 192.23, 187.72, 188.78, 191.83, ...]</td>\n",
       "      <td>[100.34, 108.31, 109.4, 104.87, 106.0, 107.91, 106.15, 102.01, 102.37, 100.25, 101.51, 100.01, 101.58, 102.3, 102.31, 105.33, 107.5, 111.49, 112.0, 113.97, 117.49, 119.36, 117.84, 118.38, 120.82, 119.83, 118.26, 126.86, 131.08, 129.6, 132.58, 135.06, 138.37, 137.08, 138.85, 137.73, 135.26, 137.4, 140.9, 142.0, 144.11, 149.16, 147.94, 140.49, 149.38, 172.43, 187.4, 181.8, 185.97, 193.3, 190.64, 196.03, 194.87, 191.67, 184.7, 169.35, 172.55, 168.7, 167.86, 183.02, 182.0, 184.87, 172.54, 172.5, 167.54, 169.4, 165.1, 167.52, 174.76, 179.39, 181.05, 181.98, 179.96, 179.4, 180.4, 176.29, 171.43, 169.98, 173.43, 171.65, 170.45, 178.69, 179.78, 176.47, 180.08, 185.02, 183.75, 186.3, 187.9, 191.91, 192.76, 192.9, 197.6, 192.79, 202.71, 194.5, 193.51, 188.55, 193.85, 195.06, ...]</td>\n",
       "      <td>[22351900, 11428600, 9137200, 7631300, 4598900, 3551000, 3109000, 2601000, 2461400, 4573700, 7566900, 2578800, 2926700, 2495300, 2032900, 4353800, 3926000, 5419900, 5361900, 4637800, 4741000, 5319700, 3618000, 3794400, 4272100, 4566300, 3536600, 8473000, 15273500, 6885900, 7570000, 6517900, 7494100, 6697400, 7064600, 5540300, 5241300, 5838600, 9893000, 5226300, 6604000, 7025200, 9064000, 11372700, 14589500, 36891900, 32764200, 22307100, 13356500, 14846800, 21162500, 12224900, 11346300, 13888700, 14409600, 19833100, 11191800, 11064200, 10644000, 14985500, 16746100, 11901500, 20917400, 18132900, 16629600, 8769300, 12368200, 12413300, 15281000, 6480100, 10666600, 7700000, 7864100, 6260900, 5869200, 6254000, 6870900, 7541800, 7654000, 4317200, 4818600, 11088400, 11471000, 8572800, 7386200, 9834500, 5516300, 3907000, 3614600, 6104100, 4145800, 2678100, 5904300, 7668500, 15844200, 13755900, 8236600, 10387100, 9662900, 7539600, ...]</td>\n",
       "      <td>[100.34, 108.31, 109.4, 104.87, 106.0, 107.91, 106.15, 102.01, 102.37, 100.25, 101.51, 100.01, 101.58, 102.3, 102.31, 105.33, 107.5, 111.49, 112.0, 113.97, 117.49, 119.36, 117.84, 118.38, 120.82, 119.83, 118.26, 126.86, 131.08, 129.6, 132.58, 135.06, 138.37, 137.08, 138.85, 137.73, 135.26, 137.4, 140.9, 142.0, 144.11, 149.16, 147.94, 140.49, 149.38, 172.43, 187.4, 181.8, 185.97, 193.3, 190.64, 196.03, 194.87, 191.67, 184.7, 169.35, 172.55, 168.7, 167.86, 183.02, 182.0, 184.87, 172.54, 172.5, 167.54, 169.4, 165.1, 167.52, 174.76, 179.39, 181.05, 181.98, 179.96, 179.4, 180.4, 176.29, 171.43, 169.98, 173.43, 171.65, 170.45, 178.69, 179.78, 176.47, 180.08, 185.02, 183.75, 186.3, 187.9, 191.91, 192.76, 192.9, 197.6, 192.79, 202.71, 194.5, 193.51, 188.55, 193.85, 195.06, ...]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "                                                date  \\\n",
       "0  [2004-08-19, 2004-08-20, 2004-08-23, 2004-08-2...   \n",
       "\n",
       "                                                open  \\\n",
       "0  [100.0, 101.01, 110.75, 111.24, 104.96, 104.95...   \n",
       "\n",
       "                                                high  \\\n",
       "0  [104.06, 109.08, 113.48, 111.6, 108.0, 107.95,...   \n",
       "\n",
       "                                                 low  \\\n",
       "0  [95.96, 100.5, 109.05, 103.57, 103.88, 104.66,...   \n",
       "\n",
       "                                               close  \\\n",
       "0  [100.34, 108.31, 109.4, 104.87, 106.0, 107.91,...   \n",
       "\n",
       "                                              volume  \\\n",
       "0  [22351900, 11428600, 9137200, 7631300, 4598900...   \n",
       "\n",
       "                                           adj_close  \n",
       "0  [100.34, 108.31, 109.4, 104.87, 106.0, 107.91,...  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.json_normalize(GOOG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2fdc3e5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 工具条\n",
    "# TOOLTIPS = [\n",
    "#     (\"colse\",\"@aapl_close\"),\n",
    "#     (\"high\",\"@aapl_high\"),\n",
    "#     (\"low\",\"@aapl_low\")\n",
    "# ]\n",
    "\n",
    "TOOLTIPS=[('开盘价','@start{0.000}'),('收盘价','@close{0.000}'),('最高价','@high{0.000}'),('最低价','@low{0.000}')] \n",
    "\n",
    "# 画布准备\n",
    "plot = figure(x_axis_type=\"datetime\", title=\"Normalized Stock Closing Prices\",\n",
    "              plot_width=800, plot_height=350,tooltips = TOOLTIPS) # 元组（'参数名称','参数的值'）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "6197f94b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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', 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none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">name&nbsp;=&nbsp;None,</div></div><div class=\"2620\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">selected&nbsp;=&nbsp;Selection(id='2623', ...),</div></div><div class=\"2620\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">selection_policy&nbsp;=&nbsp;UnionRenderers(id='2622', ...),</div></div><div class=\"2620\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">subscribed_events&nbsp;=&nbsp;[],</div></div><div class=\"2620\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">syncable&nbsp;=&nbsp;True,</div></div><div class=\"2620\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">tags&nbsp;=&nbsp;[])</div></div></div>\n",
       "<script>\n",
       "(function() {\n",
       "  let expanded = false;\n",
       "  const ellipsis = document.getElementById(\"2621\");\n",
       "  ellipsis.addEventListener(\"click\", function() {\n",
       "    const rows = document.getElementsByClassName(\"2620\");\n",
       "    for (let i = 0; i < rows.length; i++) {\n",
       "      const el = rows[i];\n",
       "      el.style.display = expanded ? \"none\" : \"table-row\";\n",
       "    }\n",
       "    ellipsis.innerHTML = expanded ? \"&hellip;)\" : \"&lsaquo;&lsaquo;&lsaquo;\";\n",
       "    expanded = !expanded;\n",
       "  });\n",
       "})();\n",
       "</script>\n"
      ],
      "text/plain": [
       "ColumnDataSource(id='2619', ...)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 数据准备（AAPL）\n",
    "aapl_source = ColumnDataSource(data=dict(\n",
    "    aapl_dates = np.array(AAPL['date'], dtype=np.datetime64),\n",
    "    close = AAPL['close'], \n",
    "    high = AAPL['high'],\n",
    "    low = AAPL['low']\n",
    "))\n",
    "\n",
    "aapl_source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "e0906e8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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BcEIAAABc0cFwQgAAwMEjwnBCAAAA8xrDcEIAAIC+v8NwQgAAQCQSxHBCAAAAimTEcEIAAEC7W8VwQgAAACGuxXBCAADAhgDGcEIAAIDsUsZwQgAAQFKlxnBCAACAg5zHcEIAAEDp7sdwQgAAAE9ByHBCAADAtJPIcEIAAIAa5shwQgAAwEvdyXBCAACAsS/KcEIAAEAXgspwQgAAAH3UynBCAADA4ibLcEIAAAAUHsxwQgAAwHlwzHBCAACA38LMcEIAAEBFFc1wQgAAAKtnzXBCAABA3F7OcEIAAABCsc5wQgAAwKcDz3BCAACADVbPcEIAAEBzqM9wQgAAgKSf0HBCAABACvLQcEIAAABwRNFwQgAAwNWW0XBCAACAO+nRcEIAAMBs4NJwQgAAgNIy03BCAABAOIXTcEIAAACe19NwQgAAwAMq1HBCAAAANSHVcEIAAMCac9VwQgAAgADG1XBCAABAZhjWcEIAAADMatZwQgAAAGO013BCAADAyAbYcEIAAIAuWdhwQgAAQJSr2HBCAACAxaLZcEIAAEAr9dlwQgAAAJFH2nBCAADA9pnacEIAAIBc7NpwQgAAwI3j23BCAACA8zXccEIAAEBZiNxwQgAAAL/a3HBCAADAJC3dcEIAAABWJN5wQgAAwLt23nBCAACAIcnecEIAAECHG99wQgAAAO1t33BCAABAHmXgcEIAAACEt+BwQgAAwOkJ4XBCAACAT1zhcEIAAEC1ruFwQgAAgOal4nBCAABATPjicEIAAACySuNwQgAAwBed43BCAACAfe/jcEIAAMCu5uRwQgAAgBQ55XBCAABAeovlcEIAAADg3eVwQgAAwEUw5nBCAAAAdyfncEIAAMDceedwQgAAgELM53BCAABAqB7ocEIAAAAOcehwQgAAQD9o6XBCAAAApbrpcEIAAMAKDepwQgAAgHBf6nBCAABA1rHqcEIAAIAHqetwQgAAQG3763BCAAAA003scEIAAMA4oOxwQgAAgJ7y7HBCAADAz+ntcEIAAIA1PO5wQgAAQJuO7nBCAAAAAeHucEIAAMBmM+9wQgAAAJgq8HBCAADA/XzwcEIAAIBjz/BwQgAAAC908XBCAABAYGvycEIAAADGvfJwQgAAwCsQ83BCAACAkWLzcEIAAED3tPNwQgAAgCis9HBCAABAjv70cEIAAAD0UPVwQgAAwFmj9XBCAACAv/X1cEIAAMDw7PZwQgAAgFY/93BCAABAvJH3cEIAAAAi5PdwQgAAwIc2+HBCAAAAuS35cEIAAMAegPlwQgAAgITS+XBCAABA6iT6cEIAAABQd/pwQgAAAOfA+3BCAADATBP8cEIAAICyZfxwQgAAQBi4/HBCAAAAFVT+cEIAAMB6pv5wQgAAgOD4/nBCAADAEfD/cEIAAIB3QgBxQgAAQN2UAHFCAAAAQ+cAcUIAAMCoOQFxQgAAwD+DAnFCAACApdUCcUIAAEALKANxQgAAAHF6A3FCAABAonEEcUIAAAAIxARxQgAAwG0WBXFCAACA02gFcUIAAEA5uwVxQgAAgGqyBnFCAABA0AQHcUIAAAA2VwdxQgAAwJupB3FCAACAAfwHcUIAAMAy8whxQgAAgJhFCXFCAABA/pcJcUIAAABk6glxQgAAwMk8CnFCAAAA+zMLcUIAAMBghgtxQgAAgMbYC3FCAABALCsMcUIAAACSfQxxQgAAACnHDXFCAADAjhkOcUIAAID0aw5xQgAAQFq+DnFCAACAi7UPcUIAAEDxBxBxQgAAAFdaEHFCAADAvKwQcUIAAIAi/xBxQgAAwFP2EXFCAACAuUgScUIAAEAfmxJxQgAAAIXtEnFCAADA6j8TcUIAAAAcNxRxQgAAwIGJFHFCAACA59sUcUIAAEBNLhVxQgAAALOAFXFCAABA5HcWcUIAAABKyhZxQgAAwK8cF3FCAACAFW8XcUIAAEB7wRdxQgAAgKy4GHFCAABAEgsZcUIAAAB4XRlxQgAAwN2vGXFCAACAQwIacUIAAMB0+RpxQgAAgNpLG3FCAABAQJ4bcUIAAACm8BtxQgAAAD06HXFCAADAoowdcUIAAIAI3x1xQgAAQG4xHnFCAAAA1IMecUIAAEAFex9xQgAAAGvNH3FCAADA0B8gcUIAAIA2ciBxQgAAQJzEIHFCAACAzbshcUIAAEAzDiJxQgAAAJlgInFCAADA/rIicUIAAIBkBSNxQgAAwJX8I3FCAACA+04kcUIAAEBhoSRxQgAAAMfzJHFCAADALEYlcUIAAABePSZxQgAAwMOPJnFCAACAKeImcUIAAECPNCdxQgAAAPWGJ3FCAABAJn4ocUIAAACM0ChxQgAAwPEiKXFCAACAV3UpcUIAAEC9xylxQgAAgO6+KnFCAABAVBErcUIAAAC6YytxQgAAwB+2K3FCAACAhQgscUIAAIAcUi1xQgAAQIKkLXFCAAAA6PYtcUIAAMBNSS5xQgAAAH9AL3FCAADA5JIvcUIAAIBK5S9xQgAAQLA3MHFCAAAAFoowcUIAAEBHgTFxQgAAAK3TMXFCAADAEiYycUIAAIB4eDJxQgAAQN7KMnFCAACAD8IzcUIAAEB1FDRxQgAAANtmNHFCAADAQLk0cUIAAICmCzVxQgAAwNcCNnFCAACAPVU2cUIAAECjpzZxQgAAAAn6NnFCAADAbkw3cUIAAACgQzhxQgAAwAWWOHFCAABA0To5cUIAAAA3jTlxQgAAQGiEOnFCAAAAztY6cUIAAMAzKTtxQgAAgJl7O3FCAABA/807cUIAAIAwxTxxQgAAQJYXPXFCAAAA/Gk9cUIAAMBhvD1xQgAAgMcOPnFCAADA+AU/cUIAAIBeWD9xQgAAQMSqP3FCAAAAKv0/cUIAAMCPT0BxQgAAAMFGQXFCAADAJplBcUIAAICM60FxQgAAQPI9QnFCAAAAWJBCcUIAAECJh0NxQgAAAO/ZQ3FCAADAVCxEcUIAAIC6fkRxQgAAQCDRRHFCAACAUchFcUIAAEC3GkZxQgAAAB1tRnFCAADAgr9GcUIAAIDoEUdxQgAAwBkJSHFCAACAf1tIcUIAAEDlrUhxQgAAAEsASXFCAADAsFJJcUIAAADiSUpxQgAAwEecSnFCAACAre5KcUIAAEATQUtxQgAAAHmTS3FCAAAAEN1McUIAAMB1L01xQgAAgNuBTXFCAABAQdRNcUIAAIByy05xQgAAQNgdT3FCAAAAPnBPcUIAAMCjwk9xQgAAgAkVUHFCAADAOgxRcUIAAICgXlFxQgAAQAaxUXFCAAAAbANScUIAAMDRVVJxQgAAAANNU3FCAADAaJ9TcUIAAIDO8VNxQgAAQDREVHFCAAAAmpZUcUIAAEDLjVVxQgAAADHgVXFCAADAljJWcUIAAID8hFZxQgAAQGLXVnFCAACAk85XcUIAAED5IFhxQgAAAF9zWHFCAADAxMVYcUIAAIAqGFlxQgAAwFsPWnFCAACAwWFacUIAAEAntFpxQgAAAI0GW3FCAADA8lhbcUIAAAAkUFxxQgAAwImiXHFCAACA7/RccUIAAEBVR11xQgAAALuZXXFCAABA7JBecUIAAABS415xQgAAwLc1X3FCAACAHYhfcUIAAECD2l9xQgAAgLTRYHFCAABAGiRhcUIAAACAdmFxQgAAwOXIYXFCAACASxticUIAAMB8EmNxQgAAgOJkY3FCAABASLdjcUIAAACuCWRxQgAAwBNcZHFCAAAARVNlcUIAAMCqpWVxQgAAgBD4ZXFCAAAA3JxmcUIAAEANlGdxQgAAAHPmZ3FCAADA2DhocUIAAIA+i2hxQgAAQKTdaHFCAACA1dRpcUIAAEA7J2pxQgAAAKF5anFCAADABsxqcUIAAIBsHmtxQgAAwJ0VbHFCAACAA2hscUIAAEBpumxxQgAAAM8MbXFCAADANF9tcUIAAABmVm5xQgAAwMuobnFCAACAMftucUIAAECXTW9xQgAAAP2fb3FCAABALpdwcUIAAMD5O3FxQgAAgF+OcXFCAABAxeBxcUIAAID213JxQgAAAMJ8c3FCAADAJ89zcUIAAICNIXRxQgAAwL4YdXFCAACAJGt1cUIAAECKvXVxQgAAAPAPdnFCAADAVWJ2cUIAAACHWXdxQgAAwOyrd3FCAACAUv53cUIAAEC4UHhxQgAAAB6jeHFCAAAAtex5cUIAAMAaP3pxQgAAgICRenFCAABA5uN6cUIAAIAX23txQgAAQH0tfHFCAAAA4398cUIAAMBI0nxxQgAAgK4kfXFCAADA3xt+cUIAAIBFbn5xQgAAQKvAfnFCAAAAERN/cUIAAMB2ZX9xQgAAAKhcgHFCAADADa+AcUIAAIBzAYFxQgAAQNlTgXFCAAAAP6aBcUIAAADW74JxQgAAwDtCg3FCAACAoZSDcUIAAEAH54NxQgAAgDjehHFCAABAnjCFcUIAAAAEg4VxQgAAwGnVhXFCAACAzyeGcUIAAMAAH4dxQgAAgGZxh3FCAABAzMOHcUIAAAAyFohxQgAAwJdoiHFCAAAAyV+JcUIAAMAusolxQgAAgJQEinFCAABA+laKcUIAAABgqYpxQgAAQJGgi3FCAAAA9/KLcUIAAMBcRYxxQgAAgMKXjHFCAACAWeGNcUIAAEC/M45xQgAAACWGjnFCAADAitiOcUIAAIDwKo9xQgAAwCEikHFCAACAh3SQcUIAAEDtxpBxQgAAAFMZkXFCAADAuGuRcUIAAADqYpJxQgAAwE+1knFCAACAtQeTcUIAAEAbWpNxQgAAAIGsk3FCAABAsqOUcUIAAAAY9pRxQgAAwH1IlXFCAACA45qVcUIAAEBJ7ZVxQgAAgHrklnFCAABA4DaXcUIAAABGiZdxQgAAwKvbl3FCAACAES6YcUIAAMBCJZlxQgAAgKh3mXFCAABADsqZcUIAAAB0HJpxQgAAwNlumnFCAAAAC2abcUIAAMBwuJtxQgAAgNYKnHFCAABAPF2ccUIAAACir5xxQgAAQNOmnXFCAAAAOfmdcUIAAMCeS55xQgAAgASennFCAABAavCecUIAAICb559xQgAAQAE6oHFCAAAAZ4ygcUIAAMDM3qBxQgAAgDIxoXFCAACAyXqicUIAAEAvzaJxQgAAAJUfo3FCAADA+nGjcUIAAAAsaaRxQgAAwJG7pHFCAACA9w2lcUIAAEBdYKVxQgAAAMOypXFCAABA9KmmcUIAAABa/KZxQgAAwL9Op3FCAACAJaGncUIAAECL86dxQgAAgLzqqHFCAABAIj2pcUIAAACIj6lxQgAAwO3hqXFCAACAUzSqcUIAAMCEK6txQgAAgOp9q3FCAABAUNCrcUIAAAC2IqxxQgAAwBt1rHFCAAAATWytcUIAAMCyvq1xQgAAgBgRrnFCAABAfmOucUIAAEAVra9xQgAAAHv/r3FCAADA4FGwcUIAAIBGpLBxQgAAQKz2sHFCAACA3e2xcUIAAEBDQLJxQgAAAKmSsnFCAADADuWycUIAAIB0N7NxQgAAwKUutHFCAACAC4G0cUIAAEBx07RxQgAAANcltXFCAADAPHi1cUIAAABub7ZxQgAAwNPBtnFCAACAORS3cUIAAECfZrdxQgAAAAW5t3FCAABANrC4cUIAAACcArlxQgAAwAFVuXFCAACAZ6e5cUIAAEDN+blxQgAAgP7wunFCAABAZEO7cUIAAADKlbtxQgAAwC/ou3FCAACAlTq8cUIAAMDGMb1xQgAAgCyEvXFCAABAkta9cUIAAAD4KL5xQgAAwF17vnFCAAAAj3K/cUIAAMD0xL9xQgAAgFoXwHFCAABAwGnAcUIAAAAmvMBxQgAAAL0FwnFCAADAIljCcUIAAICIqsJxQgAAQO78wnFCAACAH/TDcUIAAECFRsRxQgAAAOuYxHFCAADAUOvEcUIAAIC2PcVxQgAAwOc0xnFCAACATYfGcUIAAECz2cZxQgAAABksx3FCAADAfn7HcUIAAACwdchxQgAAwBXIyHFCAACAexrJcUIAAEDhbMlxQgAAAEe/yXFCAABAeLbKcUIAAADeCMtxQgAAwENby3FCAACAqa3LcUIAAEAPAMxxQgAAgED3zHFCAABApknNcUIAAAAMnM1xQgAAwHHuzXFCAACA10DOcUIAAMAIOM9xQgAAgG6Kz3FCAABA1NzPcUIAAAA6L9BxQgAAwJ+B0HFCAAAA0XjRcUIAAMA2y9FxQgAAgJwd0nFCAABAAnDScUIAAABowtJxQgAAQJm503FCAAAA/wvUcUIAAMBkXtRxQgAAgMqw1HFCAABAMAPVcUIAAIBh+tVxQgAAQMdM1nFCAAAALZ/WcUIAAMCS8dZxQgAAgPhD13FCAADAKTvYcUIAAICPjdhxQgAAQPXf2HFCAAAAWzLZcUIAAMDAhNlxQgAAAPJ72nFCAADAV87acUIAAIC9INtxQgAAQCNz23FCAAAAicXbcUIAAEC6vNxxQgAAACAP3XFCAADAhWHdcUIAAEBRBt5xQgAAgIL93nFCAABA6E/fcUIAAABOot9xQgAAwLP033FCAACAGUfgcUIAAMBKPuFxQgAAgLCQ4XFCAABAFuPhcUIAAAB8NeJxQgAAwOGH4nFCAAAAE3/jcUIAAMB40eNxQgAAgN4j5HFCAABARHbkcUIAAACqyORxQgAAQNu/5XFCAAAAQRLmcUIAAMCmZOZxQgAAQHIJ53FCAACAowDocUIAAEAJU+hxQgAAAG+l6HFCAACAOkrpcUIAAMBrQepxQgAAgNGT6nFCAABAN+bqcUIAAACdOOtxQgAAwAKL63FCAAAANILscUIAAMCZ1OxxQgAAgP8m7XFCAABAZXntcUIAAADLy+1xQgAAAGIV73FCAADAx2fvcUIAAIAtuu9xQgAAQJMM8HFCAACAxAPxcUIAAEAqVvFxQgAAAJCo8XFCAADA9frxcUIAAIBbTfJxQgAAwIxE83FCAACA8pbzcUIAAEBY6fNxQgAAAL479HFCAADAI470cUIAAABVhfVxQgAAwLrX9XFCAACAICr2cUIAAECGfPZxQgAAAOzO9nFCAAAAgxj4cUIAAMDoavhxQgAAgE69+HFCAABAtA/5cUIAAIDlBvpxQgAAQEtZ+nFCAAAAsav6cUIAAMAW/vpxQgAAgHxQ+3FCAADArUf8cUIAAIATmvxxQgAAQHns/HFCAAAA3z79cUIAAMBEkf1xQgAAAHaI/nFCAADA29r+cUIAAIBBLf9xQgAAQKd//3FCAAAADdL/cUIAAEA+yQByQgAAAKQbAXJCAADACW4BckIAAIBvwAFyQgAAQNUSAnJCAACABgoDckIAAEBsXANyQgAAANKuA3JCAADANwEEckIAAICdUwRyQgAAwM5KBXJCAACANJ0FckIAAECa7wVyQgAAAABCBnJCAADAZZQGckIAAACXiwdyQgAAwPzdB3JCAACAYjAIckIAAEDIgghyQgAAQF/MCXJCAAAAxR4KckIAAMAqcQpyQgAAgJDDCnJCAABA9hULckIAAIAnDQxyQgAAQI1fDHJCAAAA87EMckIAAMBYBA1yQgAAgL5WDXJCAADA700OckIAAIBVoA5yQgAAQLvyDnJCAAAAIUUPckIAAMCGlw9yQgAAALiOEHJCAADAHeEQckIAAICDMxFyQgAAQOmFEXJCAAAAT9gRckIAAECAzxJyQgAAAOYhE3JCAADAS3QTckIAAICxxhNyQgAAQBcZFHJCAACASBAVckIAAECuYhVyQgAAABS1FXJCAADAeQcWckIAAIDfWRZyQgAAgHajF3JCAABA3PUXckIAAABCSBhyQgAAwKeaGHJCAAAA2ZEZckIAAMA+5BlyQgAAgKQ2GnJCAABACokackIAAABw2xpyQgAAQKHSG3JCAAAAByUcckIAAMBsdxxyQgAAgNLJHHJCAABAOBwdckIAAIBpEx5yQgAAQM9lHnJCAAAANbgeckIAAMCaCh9yQgAAgABdH3JCAADAMVQgckIAAICXpiByQgAAQP34IHJCAAAAY0shckIAAMDInSFyQgAAAPqUInJCAADAX+cickIAAIDFOSNyQgAAQCuMI3JCAABAwtUkckIAAAAoKCVyQgAAwI16JXJCAACA88wlckIAAEBZHyZyQgAAgIoWJ3JCAABA8GgnckIAAABWuydyQgAAwLsNKHJCAACAIWAockIAAMBSVylyQgAAgLipKXJCAABAHvwpckIAAACETipyQgAAwOmgKnJCAAAAG5grckIAAMCA6ityQgAAgOY8LHJCAABATI8sckIAAACy4SxyQgAAQOPYLXJCAAAASSsuckIAAMCufS5yQgAAgBTQLnJCAABAeiIvckIAAICrGTByQgAAQBFsMHJCAAAAd74wckIAAMDcEDFyQgAAgEJjMXJCAADAc1oyckIAAIDZrDJyQgAAQD//MnJCAAAApVEzckIAAMAKpDNyQgAAADybNHJCAADAoe00ckIAAIAHQDVyQgAAQG2SNXJCAAAA0+Q1ckIAAEAE3DZyQgAAAGouN3JCAADAz4A3ckIAAIA10zdyQgAAQJslOHJCAABAMm85ckIAAACYwTlyQgAAwP0TOnJCAACAY2Y6ckIAAMCUXTtyQgAAgPqvO3JCAABAYAI8ckIAAADGVDxyQgAAwCunPHJCAAAAXZ49ckIAAMDC8D1yQgAAgChDPnJCAABAjpU+ckIAAAD05z5yQgAAQCXfP3JCAAAAizFAckIAAMDwg0ByQgAAgFbWQHJCAABAvChBckIAAIDtH0JyQgAAQFNyQnJCAAAAucRCckIAAMAeF0NyQgAAgIRpQ3JCAADAtWBEckIAAIAbs0RyQgAAQIEFRXJCAAAA51dFckIAAMBMqkVyQgAAAH6hRnJCAADA4/NGckIAAIBJRkdyQgAAQK+YR3JCAAAAFetHckIAAEBG4khyQgAAAKw0SXJCAADAEYdJckIAAIB32UlyQgAAQN0rSnJCAACADiNLckIAAEB0dUtyQgAAANrHS3JCAADAPxpMckIAAIClbExyQgAAwNZjTXJCAACAPLZNckIAAECiCE5yQgAAAAhbTnJCAADAba1OckIAAACfpE9yQgAAwAT3T3JCAACAaklQckIAAEDQm1ByQgAAADbuUHJCAABAZ+VRckIAAADNN1JyQgAAwDKKUnJCAABA/i5TckIAAIAvJlRyQgAAQJV4VHJCAAAA+8pUckIAAMBgHVVyQgAAgMZvVXJCAADA92ZWckIAAIBduVZyQgAAQMMLV3JCAAAAKV5XckIAAMCOsFdyQgAAAMCnWHJCAADAJfpYckIAAICLTFlyQgAAQPGeWXJCAAAAV/FZckIAAECI6FpyQgAAAO46W3JCAADAU41bckIAAIC531tyQgAAgFApXXJCAABAtntdckIAAAAczl1yQgAAwIEgXnJCAADAGGpfckIAAIB+vF9yQgAAQOQOYHJCAAAASmFgckIAAMCvs2ByQgAAAOGqYXJCAADARv1hckIAAICsT2JyQgAAQBKiYnJCAAAAePRickIAAAAPPmRyQgAAwHSQZHJCAACA2uJkckIAAEBANWVyQgAAgHEsZnJCAABA135mckIAAAA90WZyQgAAwKIjZ3JCAACACHZnckIAAMA5bWhyQgAAgJ+/aHJCAABABRJpckIAAABrZGlyQgAAwNC2aXJCAAAAAq5qckIAAMBnAGtyQgAAgM1Sa3JCAABAM6VrckIAAACZ92tyQgAAADBBbXJCAADAlZNtckIAAID75W1yQgAAQGE4bnJCAACAki9vckIAAED4gW9yQgAAAF7Ub3JCAADAwyZwckIAAIApeXByQgAAwFpwcXJCAACAwMJxckIAAEAmFXJyQgAAAIxncnJCAADA8blyckIAAAAjsXNyQgAAwIgDdHJCAACA7lV0ckIAAEBUqHRyQgAAALr6dHJCAABA6/F1ckIAAABRRHZyQgAAwLaWdnJCAACAHOl2ckIAAECCO3dyQgAAgLMyeHJCAABAGYV4ckIAAAB/13hyQgAAwOQpeXJCAACASnx5ckIAAMB7c3pyQgAAgOHFenJCAABARxh7ckIAAACtantyQgAAAES0fHJCAADAqQZ9ckIAAIAPWX1yQgAAQHWrfXJCAAAA2/19ckIAAEAM9X5yQgAAAHJHf3JCAADA15l/ckIAAIA97H9yQgAAQKM+gHJCAACA1DWBckIAAEA6iIFyQgAAAKDagXJCAADABS2CckIAAIBrf4JyQgAAwJx2g3JCAACAAsmDckIAAEBoG4RyQgAAAM5thHJCAADAM8CEckIAAABlt4VyQgAAwMoJhnJCAACAMFyGckIAAECWroZyQgAAAPwAh3JCAABALfiHckIAAACTSohyQgAAwPiciHJCAACAXu+IckIAAEDEQYlyQgAAgPU4inJCAABAW4uKckIAAADB3YpyQgAAwCYwi3JCAACAjIKLckIAAMC9eYxyQgAAgCPMjHJCAABAiR6NckIAAADvcI1yQgAAwFTDjXJCAADA6wyPckIAAIBRX49yQgAAQLexj3JCAAAAHQSQckIAAEBO+5ByQgAAALRNkXJCAADAGaCRckIAAIB/8pFyQgAAQOVEknJCAACAFjyTckIAAEB8jpNyQgAAAOLgk3JCAADARzOUckIAAICthZRyQgAAwN58lXJCAACARM+VckIAAECqIZZyQgAAABB0lnJCAADAdcaWckIAAACnvZdyQgAAwAwQmHJCAACAcmKYckIAAEDYtJhyQgAAAD4HmXJCAAAA1VCackIAAMA6o5pyQgAAgKD1mnJCAABABkibckIAAIA3P5xyQgAAQJ2RnHJCAAAAA+ScckIAAMBoNp1yQgAAgM6InXJCAADA/3+eckIAAIBl0p5yQgAAQMskn3JCAAAAMXefckIAAMCWyZ9yQgAAAMjAoHJCAADALROhckIAAICTZaFyQgAAQPm3oXJCAAAAXwqickIAAECQAaNyQgAAAPZTo3JCAADAW6ajckIAAIDB+KNyQgAAQCdLpHJCAACAWEKlckIAAEC+lKVyQgAAACTnpXJCAADAiTmmckIAAIDvi6ZyQgAAwCCDp3JCAACAhtWnckIAAEDsJ6hyQgAAAFJ6qHJCAADAt8yockIAAADpw6lyQgAAwE4WqnJCAACAtGiqckIAAEAau6pyQgAAAIANq3JCAABAsQSsckIAAAAXV6xyQgAAwHyprHJCAACA4vusckIAAEBITq1yQgAAQN+XrnJCAAAARequckIAAMCqPK9yQgAAgBCPr3JCAADAQYawckIAAICn2LByQgAAQA0rsXJCAAAAc32xckIAAMDYz7FyQgAAAArHsnJCAADAbxmzckIAAIDVa7NyQgAAQDu+s3JCAAAAoRC0ckIAAEDSB7VyQgAAADhatXJCAADAnay1ckIAAIAD/7VyQgAAQGlRtnJCAACAmki3ckIAAEAAm7dyQgAAAGbtt3JCAADAyz+4ckIAAIAxkrhyQgAAwGKJuXJCAACAyNu5ckIAAEAuLrpyQgAAAJSAunJCAADA+dK6ckIAAAAryrtyQgAAwJAcvHJCAACA9m68ckIAAEBcwbxyQgAAAMITvXJCAABA8wq+ckIAAABZXb5yQgAAwL6vvnJCAACAJAK/ckIAAECKVL9yQgAAgLtLwHJCAABAIZ7AckIAAACH8MByQgAAwOxCwXJCAACAUpXBckIAAMCDjMJyQgAAgOnewnJCAABATzHDckIAAAC1g8NyQgAAwBrWw3JCAAAATM3EckIAAMCxH8VyQgAAgBdyxXJCAABAfcTFckIAAADjFsZyQgAAQBQOx3JCAAAAemDHckIAAMDfssdyQgAAQKtXyHJCAACA3E7JckIAAEBCoclyQgAAAKjzyXJCAADADUbKckIAAIBzmMpyQgAAwKSPy3JCAACACuLLckIAAEBwNMxyQgAAANaGzHJCAADAO9nMckIAAABt0M1yQgAAwNIiznJCAACAOHXOckIAAECex85yQgAAAAQaz3JCAABANRHQckIAAACbY9ByQgAAwAC20HJCAACAZgjRckIAAID9UdJyQgAAQGOk0nJCAAAAyfbSckIAAMAuSdNyQgAAgJSb03JCAADAxZLUckIAAIAr5dRyQgAAQJE31XJCAAAA94nVckIAAMBc3NVyQgAAAI7T1nJCAADA8yXXckIAAIBZeNdyQgAAQL/K13JCAAAAJR3YckIAAAC8ZtlyQgAAwCG52XJCAACAhwvackIAAEDtXdpyQgAAgB5V23JCAABAhKfbckIAAADq+dtyQgAAwE9M3HJCAACAtZ7cckIAAMDmld1yQgAAgEzo3XJCAABAsjreckIAAAAYjd5yQgAAwH3f3nJCAAAAr9bfckIAAMAUKeByQgAAgHp74HJCAABA4M3gckIAAABGIOFyQgAAQHcX4nJCAAAA3WnickIAAMBCvOJyQgAAgKgO43JCAABADmHjckIAAEClquRyQgAAAAv95HJCAADAcE/lckIAAIDWoeVyQgAAwAeZ5nJCAACAbevmckIAAEDTPedyQgAAADmQ53JCAADAnuLnckIAAADQ2ehyQgAAwDUs6XJCAACAm37pckIAAEAB0elyQgAAAGcj6nJCAABAmBrrckIAAAD+bOtyQgAAwGO/63JCAACAyRHsckIAAEAvZOxyQgAAgGBb7XJCAABAxq3tckIAAAAsAO5yQgAAwJFS7nJCAACA96TuckIAAMAonO9yQgAAgI7u73JCAABA9EDwckIAAABak/ByQgAAwL/l8HJCAAAA8dzxckIAAMBWL/JyQgAAgLyB8nJCAABAItTyckIAAACIJvNyQgAAQLkd9HJCAAAAH3D0ckIAAMCEwvRyQgAAgOoU9XJCAABAUGf1ckIAAICBXvZyQgAAQOew9nJCAAAATQP3ckIAAMCyVfdyQgAAwEmf+HJCAACAr/H4ckIAAEAVRPlyQgAAAHuW+XJCAADA4Oj5ckIAAAAS4PpyQgAAwHcy+3JCAACA3YT7ckIAAEBD1/tyQgAAAKkp/HJCAABA2iD9ckIAAABAc/1yQgAAwKXF/XJCAACACxj+ckIAAEBxav5yQgAAgKJh/3JCAABACLT/ckIAAABuBgBzQgAAwNNYAHNCAACAOasAc0IAAMBqogFzQgAAgND0AXNCAABANkcCc0IAAACcmQJzQgAAwAHsAnNCAADAmDUEc0IAAID+hwRzQgAAQGTaBHNCAAAAyiwFc0IAAED7IwZzQgAAAGF2BnNCAADAxsgGc0IAAIAsGwdzQgAAQJJtB3NCAACAw2QIc0IAAEAptwhzQgAAAI8JCXNCAADA9FsJc0IAAIBarglzQgAAwIulCnNCAACA8fcKc0IAAEBXSgtzQgAAAL2cC3NCAADAIu8Lc0IAAABU5gxzQgAAwLk4DXNCAACAH4sNc0IAAECF3Q1zQgAAAOsvDnNCAAAAgnkPc0IAAMDnyw9zQgAAgE0eEHNCAABAs3AQc0IAAIDkZxFzQgAAQEq6EXNCAAAAsAwSc0IAAMAVXxJzQgAAgHuxEnNCAADArKgTc0IAAIAS+xNzQgAAQHhNFHNCAAAA3p8Uc0IAAMBD8hRzQgAAAHXpFXNCAADA2jsWc0IAAIBAjhZzQgAAQKbgFnNCAAAADDMXc0IAAEA9KhhzQgAAAKN8GHNCAADACM8Yc0IAAIBuIRlzQgAAQNRzGXNCAACABWsac0IAAEBrvRpzQgAAANEPG3NCAADANmIbc0IAAICctBtzQgAAwM2rHHNCAACAM/4cc0IAAECZUB1zQgAAAP+iHXNCAADAZPUdc0IAAACW7B5zQgAAwPs+H3NCAACAYZEfc0IAAEDH4x9zQgAAAC02IHNCAABAXi0hc0IAAADEfyFzQgAAwCnSIXNCAACAjyQic0IAAED1diJzQgAAQIzAI3NCAAAA8hIkc0IAAMBXZSRzQgAAgL23JHNCAADA7q4lc0IAAIBUASZzQgAAQLpTJnNCAAAAIKYmc0IAAMCF+CZzQgAAALfvJ3NCAADAHEIoc0IAAICClChzQgAAQOjmKHNCAAAATjkpc0IAAEB/MCpzQgAAAOWCKnNCAADAStUqc0IAAICwJytzQgAAQBZ6K3NCAACAR3Esc0IAAECtwyxzQgAAABMWLXNCAADAeGgtc0IAAIDeui1zQgAAwA+yLnNCAACAdQQvc0IAAEDbVi9zQgAAAEGpL3NCAADApvsvc0IAAADY8jBzQgAAwD1FMXNCAACAo5cxc0IAAEAJ6jFzQgAAAG88MnNCAABAoDMzc0IAAAAGhjNzQgAAwGvYM3NCAACA0So0c0IAAEA3fTRzQgAAgGh0NXNCAABAzsY1c0IAAAA0GTZzQgAAwJlrNnNCAACA/702c0IAAMAwtTdzQgAAgJYHOHNCAABA/Fk4c0IAAABirDhzQgAAwMf+OHNCAAAA+fU5c0IAAMBeSDpzQgAAgMSaOnNCAABAKu06c0IAAACQPztzQgAAQME2PHNCAAAAJ4k8c0IAAMCM2zxzQgAAQFiAPXNCAACAiXc+c0IAAEDvyT5zQgAAAFUcP3NCAADAum4/c0IAAIAgwT9zQgAAwFG4QHNCAACAtwpBc0IAAEAdXUFzQgAAAIOvQXNCAADA6AFCc0IAAAAa+UJzQgAAwH9LQ3NCAACA5Z1Dc0IAAEBL8ENzQgAAALFCRHNCAABA4jlFc0IAAABIjEVzQgAAwK3eRXNCAACAEzFGc0IAAEB5g0ZzQgAAQBDNR3NCAAAAdh9Ic0IAAMDbcUhzQgAAgEHESHNCAACA2A1Kc0IAAEA+YEpzQgAAAKSySnNCAADACQVLc0IAAAA7/EtzQgAAwKBOTHNCAACABqFMc0IAAEBs80xzQgAAANJFTXNCAAAAaY9Oc0IAAMDO4U5zQgAAgDQ0T3NCAABAmoZPc0IAAIDLfVBzQgAAQDHQUHNCAAAAlyJRc0IAAMD8dFFzQgAAgGLHUXNCAADAk75Sc0IAAID5EFNzQgAAQF9jU3NCAAAAxbVTc0IAAMAqCFRzQgAAAFz/VHNCAADAwVFVc0IAAIAnpFVzQgAAQI32VXNCAAAA80hWc0IAAEAkQFdzQgAAAIqSV3NCAADA7+RXc0IAAIBVN1hzQgAAQLuJWHNCAABAUtNZc0IAAAC4JVpzQgAAwB14WnNCAACAg8pac0IAAMC0wVtzQgAAgBoUXHNCAABAgGZcc0IAAADmuFxzQgAAwEsLXXNCAAAAfQJec0IAAMDiVF5zQgAAgEinXnNCAABArvlec0IAAAAUTF9zQgAAQEVDYHNCAAAAq5Vgc0IAAMAQ6GBzQgAAgHY6YXNCAABA3Ixhc0IAAIANhGJzQgAAQHPWYnNCAAAA2Shjc0IAAMA+e2NzQgAAgKTNY3NCAADA1cRkc0IAAIA7F2VzQgAAQKFpZXNCAAAAB7xlc0IAAMBsDmZzQgAAAJ4FZ3NCAADAA1hnc0IAAIBpqmdzQgAAQM/8Z3NCAABAZkZpc0IAAADMmGlzQgAAwDHraXNCAACAlz1qc0IAAED9j2pzQgAAgC6Ha3NCAABAlNlrc0IAAAD6K2xzQgAAwF9+bHNCAACAxdBsc0IAAMD2x21zQgAAgFwabnNCAABAwmxuc0IAAAAov25zQgAAwI0Rb3NCAAAAvwhwc0IAAMAkW3BzQgAAgIqtcHNCAABA8P9wc0IAAABWUnFzQgAAQIdJcnNCAAAA7Ztyc0IAAMBS7nJzQgAAgLhAc3NCAABAHpNzc0IAAIBPinRzQgAAQLXcdHNCAAAAGy91c0IAAMCAgXVzQgAAgObTdXNCAADAF8t2c0IAAIB9HXdzQgAAQONvd3NCAAAAScJ3c0IAAMCuFHhzQgAAwEVeeXNCAACAq7B5c0IAAEARA3pzQgAAAHdVenNCAABAqEx7c0IAAAAOn3tzQgAAwHPxe3NCAACA2UN8c0IAAEA/lnxzQgAAgHCNfXNCAABA1t99c0IAAAA8Mn5zQgAAwKGEfnNCAACAB9d+c0IAAMA4zn9zQgAAgJ4ggHNCAABABHOAc0IAAABqxYBzQgAAwM8XgXNCAAAAAQ+Cc0IAAMBmYYJzQgAAgMyzgnNCAABAMgaDc0IAAACYWINzQgAAQMlPhHNCAAAAL6KEc0IAAID6RoVzQgAAQGCZhXNCAACAkZCGc0IAAED34oZzQgAAAF01h3NCAADAwoeHc0IAAIAo2odzQgAAwFnRiHNCAACAvyOJc0IAAEAldolzQgAAAIvIiXNCAADA8BqKc0IAAAAiEotzQgAAwIdki3NCAACA7baLc0IAAEBTCYxzQgAAALlbjHNCAABA6lKNc0IAAABQpY1zQgAAwLX3jXNCAACAG0qOc0IAAECBnI5zQgAAgLKTj3NCAABAGOaPc0IAAAB+OJBzQgAAwOOKkHNCAACASd2Qc0IAAMB61JFzQgAAgOAmknNCAABARnmSc0IAAACsy5JzQgAAwBEek3NCAAAAQxWUc0IAAMCoZ5RzQgAAgA66lHNCAABAdAyVc0IAAADaXpVzQgAAQAtWlnNCAAAAcaiWc0IAAMDW+pZzQgAAgDxNl3NCAABAop+Xc0IAAEA56ZhzQgAAAJ87mXNCAADABI6Zc0IAAIBq4JlzQgAAwJvXmnNCAACAASqbc0IAAEBnfJtzQgAAAM3Om3NCAADAMiGcc0IAAABkGJ1zQgAAwMlqnXNCAACAL72dc0IAAECVD55zQgAAAPthnnNCAABALFmfc0IAAACSq59zQgAAwPf9n3NCAACAXVCgc0IAAEDDoqBzQgAAgPSZoXNCAABAWuyhc0IAAADAPqJzQgAAwCWRonNCAACAi+Oic0IAAMC82qNzQgAAgCItpHNCAABAiH+kc0IAAADu0aRzQgAAwFMkpXNCAAAAhRumc0IAAMDqbaZzQgAAgFDApnNCAABAthKnc0IAAAAcZadzQgAAQE1cqHNCAAAAs66oc0IAAMAYAalzQgAAgH5TqXNCAABA5KWpc0IAAADhQatzQgAAwEaUq3NCAACArOarc0IAAMDd3axzQgAAgEMwrXNCAABAqYKtc0IAAAAP1a1zQgAAwHQnrnNCAAAAph6vc0IAAMALca9zQgAAgHHDr3NCAABA1xWwc0IAAAA9aLBzQgAAQG5fsXNCAAAA1LGxc0IAAMA5BLJzQgAAQAWpsnNCAACANqCzc0IAAECc8rNzQgAAAAJFtHNCAADAZ5e0c0IAAIDN6bRzQgAAwP7gtXNCAACAZDO2c0IAAEDKhbZzQgAAADDYtnNCAADAlSq3c0IAAADHIbhzQgAAwCx0uHNCAACAksa4c0IAAED4GLlzQgAAAF5ruXNCAABAj2K6c0IAAAD1tLpzQgAAwFoHu3NCAACAwFm7c0IAAEAmrLtzQgAAgFejvHNCAAAAI0i9c0IAAMCImr1zQgAAgO7svXNCAADAH+S+c0IAAEDriL9zQgAAAFHbv3NCAADAti3Ac0IAAADoJMFzQgAAwE13wXNCAACAs8nBc0IAAEAZHMJzQgAAAH9uwnNCAABAsGXDc0IAAAAWuMNzQgAAwHsKxHNCAACA4VzEc0IAAEBHr8RzQgAAQN74xXNCAAAAREvGc0IAAMCpncZzQgAAgA/wxnNCAADAQOfHc0IAAICmOchzQgAAQAyMyHNCAAAAct7Ic0IAAMDXMMlzQgAAAAkoynNCAADAbnrKc0IAAIDUzMpzQgAAQDofy3NCAAAAoHHLc0IAAEDRaMxzQgAAADe7zHNCAADAnA3Nc0IAAIACYM1zQgAAQGiyzXNCAABA//vOc0IAAABlTs9zQgAAwMqgz3NCAACAMPPPc0IAAMBh6tBzQgAAgMc80XNCAABALY/Rc0IAAACT4dFzQgAAwPgz0nNC', 'shape': (2148,), 'dtype': 'float64', 'order': 'little'}},</div></div><div class=\"2625\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_event_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"2625\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_property_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"2625\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">name&nbsp;=&nbsp;None,</div></div><div class=\"2625\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">selected&nbsp;=&nbsp;Selection(id='2628', ...),</div></div><div class=\"2625\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">selection_policy&nbsp;=&nbsp;UnionRenderers(id='2627', ...),</div></div><div class=\"2625\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">subscribed_events&nbsp;=&nbsp;[],</div></div><div class=\"2625\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">syncable&nbsp;=&nbsp;True,</div></div><div class=\"2625\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">tags&nbsp;=&nbsp;[])</div></div></div>\n",
       "<script>\n",
       "(function() {\n",
       "  let expanded = false;\n",
       "  const ellipsis = document.getElementById(\"2626\");\n",
       "  ellipsis.addEventListener(\"click\", function() {\n",
       "    const rows = document.getElementsByClassName(\"2625\");\n",
       "    for (let i = 0; i < rows.length; i++) {\n",
       "      const el = rows[i];\n",
       "      el.style.display = expanded ? \"none\" : \"table-row\";\n",
       "    }\n",
       "    ellipsis.innerHTML = expanded ? \"&hellip;)\" : \"&lsaquo;&lsaquo;&lsaquo;\";\n",
       "    expanded = !expanded;\n",
       "  });\n",
       "})();\n",
       "</script>\n"
      ],
      "text/plain": [
       "ColumnDataSource(id='2624', ...)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 数据准备（GOOG）\n",
    "goog_source = ColumnDataSource(data=dict(\n",
    "    goog_dates = np.array(GOOG['date'], dtype=np.datetime64),\n",
    "    close = GOOG['close'],\n",
    "    high = GOOG['high'],\n",
    "    low = GOOG['low']\n",
    "))\n",
    "\n",
    "goog_source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "2273799c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "BokehDeprecationWarning: 'legend' keyword is deprecated, use explicit 'legend_label', 'legend_field', or 'legend_group' keywords instead\n",
      "BokehDeprecationWarning: 'legend' keyword is deprecated, use explicit 'legend_label', 'legend_field', or 'legend_group' keywords instead\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"41c22c43-d0c0-4b6d-9e3c-8b0ff5b7fdf6\" data-root-id=\"2584\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = 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\"2630\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"2632\"},\"name\":\"close\",\"nonselection_glyph\":{\"id\":\"2631\"},\"view\":{\"id\":\"2634\"}},\"id\":\"2633\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"overlay\":{\"id\":\"2609\"}},\"id\":\"2605\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"Normalized Stock Closing Prices\"},\"id\":\"2585\",\"type\":\"Title\"}],\"root_ids\":[\"2584\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"dfeb4b61-f6c4-45d2-9f3c-5eec29b8e263\",\"root_ids\":[\"2584\"],\"roots\":{\"2584\":\"41c22c43-d0c0-4b6d-9e3c-8b0ff5b7fdf6\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2584"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制图形（AAPL）\n",
    "plot.line(\n",
    "    x = 'aapl_dates',\n",
    "    y = 'close',\n",
    "    line_width = 2,\n",
    "    color='#cf3c4d',\n",
    "    alpha=0.6,\n",
    "    legend=\"Apple\",\n",
    "    source=aapl_source,\n",
    "    name = 'close',\n",
    ")\n",
    "\n",
    "# （GOOG）\n",
    "plot.line(\n",
    "    x = 'goog_dates',\n",
    "    y = 'close',\n",
    "    line_width = 2,\n",
    "    color='#2f7bce',\n",
    "    alpha=0.6,\n",
    "    legend=\"GOOG\",\n",
    "    source=goog_source,\n",
    "    name = 'close'\n",
    ")\n",
    "\n",
    "# 图形的额外设置\n",
    "plot.legend.location='top_left'\n",
    "\n",
    "# 显示图像\n",
    "show(plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7f096944",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f7d6f2de",
   "metadata": {},
   "outputs": [],
   "source": []
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    "top": "150px",
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